Self-learning valuation

A system, comprising:

• a processor configured to:
• receive a plurality of digital content items over a network or from a database;
• for each received content item:
• define a valuation function for determining a market value of the received content item, wherein the market value determined by the valuation function is based on a plurality of attributes, and defining the valuation function comprises:
• find and rank one or more previously processed content items having a plurality of attributes with closest similarity to the plurality of attributes of the received content item;
• and
• perform averaging of valuation functions associated with the nearest one or more of the previously processed and ranked content items;
• detect from one or more devices of one or more consumers online accesses of the plurality of digital content items by the one or more consumers based on displayed content items and market values;
• determine a market response reflecting behavior of the one or more consumers based on the online accesses of the plurality of digital content items by the one or more consumers;
• adapt the defined valuation function according to the determined market response for continually correcting the market values of the plurality of digital content items by learning from the determined market response, wherein the market values are dynamically varying based on the continual correction and are streamed along with the plurality of digital content items in real-time to the one or more consumers over the network;
• and
• update continually the market values of the plurality of digital content items on the one or more devices of the one or more consumers with dynamically varying market values.

A non-transitory computer-readable medium having computer readable program code embodied thereon, the computer-readable program code, when executed by a processor, causes the processor to perform:

• receiving a plurality of digital content items over a network or from a database;
• for each received content item:
• defining a valuation function for determining a market value of the received content item, wherein the market value determined by the valuation function is based on a plurality of attributes, and defining the valuation function comprises:
• finding and ranking one or more previously processed content items having a plurality of attributes with closest similarity to the plurality of attributes of the received content item;
• and
• performing averaging of valuation functions associated with the nearest one or more of the previously processed and ranked content items;
• detecting from one or more devices of one or more consumers online accesses of the plurality of digital content items by the one or more consumers based on displayed content items and market values;
• determining a market response reflecting behavior of the one or more consumers based on the online accesses of the plurality of digital content items by the one or more consumers;
• adapting the defined valuation function according to the determined market response for continually correcting the market values of the plurality of digital content items by learning from the determined market response, wherein the market values are dynamically varying based on the continual correction and are streamed along with the plurality of digital content items in real-time to the one or more consumers over the network;
• and
• updating continually the market values of the plurality of digital content items on the one or more devices of the one or more consumers with dynamically varying market values.